#1 AIUnknown
enigma-python-mcp — alternative #1 to agy-mcp
🐍 ☁️ 🏠 🍎 🪟 🐧 - A Model Context Protocol server that brings the capabilities of enigmapython library to LLMs, allowing them to encrypt and de...
GitHub source
Recorded alternatives
Alternatives to agy-mcp
Every candidate below sits in AI. What ends up on this page is decided entirely by a recorded score — not by bidding, not by editor taste. Review both records, check current vendor terms, then decide.
#2 AIUnknown
enigmapython — alternative #2 to agy-mcp
denismaggior8/enigma-python-mcp 🐍 ☁️ 🏠 🍎 🪟 🐧 - A Model Context Protocol server that brings the capabilities of library to LLMs, allowing the...
GitHub source
#3 AIUnknown
exa-mcp-server — alternative #3 to agy-mcp
🎖️ 📇 ☁️ – یک سرور Model Context Protocol (MCP) که به دستیاران هوش مصنوعی مانند Claude اجازه میدهد از Exa AI Search API برای جستجوهای وب است...
GitHub source
#4 AIUnknown
geoserver-mcp — alternative #4 to agy-mcp
🏠 – A Model Context Protocol (MCP) server implementation that connects LLMs to the GeoServer REST API, enabling AI assistants to interact wi...
GitHub source
#5 AIUnknown
kubectl-mcp-server — alternative #5 to agy-mcp
🐍 ☁️/🏠 - یک سرور Model Context Protocol (MCP) برای Kubernetes که به دستیاران هوش مصنوعی مانند Claude، Cursor و دیگران امکان تعامل با کلاستره...
GitHub source
#6 AIUnknown
mcp-server-simulator-ios-idb — alternative #6 to agy-mcp
📇 🏠 🍎 - A Model Context Protocol (MCP) server that enables LLMs to interact with iOS simulators (iPhone, iPad, etc.) through natural languag...
GitHub source
#7 AIUnknown
mcp-swagger-server — alternative #7 to agy-mcp
📇 ☁️ 🏠 - یک سرور Model Context Protocol (MCP) که مشخصات OpenAPI/Swagger را به فرمت MCP تبدیل میکند و به دستیاران هوش مصنوعی امکان تعامل با...
GitHub source
#8 AIUnknown
mlflow-mcp-server — alternative #8 to agy-mcp
📇 🏠 🍎 🪟 🐧 - MLflow — 82 tools across experiments, runs, registered models, model versions, traces, assessments. MLflow 3 GenAI traces suppor...
GitHub source
Questions about this page
How were these alternatives selected?
Each candidate is a live catalogue record in the same primary category, picked by a deterministic score that Oryxen records in its catalogue: how many meaningful words the two listings share, whether their pricing classes oppose (a paid product against a free one), whether both are open source, and whether either record is featured. The same catalogue state always produces the same list — no randomness, no manual ranking.
Are these alternatives ranked by payment?
No. Rows are ordered only by the recorded score, highest first, with alphabetical ties — payment never influences the order, nothing here is paid placement, and Oryxen charges no listing or placement fee.
Always verify current terms with agy-mcp directly — Oryxen records pricing classes, not live quotes.